© 2014

Artificial Intelligence: Methodology, Systems, and Applications

16th International Conference, AIMSA 2014, Varna, Bulgaria, September 11-13, 2014. Proceedings

  • Gennady Agre
  • Pascal Hitzler
  • Adila A. Krisnadhi
  • Sergei O. Kuznetsov
Conference proceedings AIMSA 2014

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8722)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 8722)

Table of contents

  1. Front Matter
  2. Long Papers

    1. Veselka Boeva, Liliana Boneva, Elena Tsiporkova
      Pages 13-24
    2. Dumitru-Clementin Cercel, Ştefan Trăuşan-Matu
      Pages 25-36
    3. Milen Chechev, Ivan Koychev
      Pages 37-46
    4. Dmitry I. Ignatov, Elena Nenova, Natalia Konstantinova, Andrey V. Konstantinov
      Pages 47-58
    5. Gergana Angelova Lazarova
      Pages 59-68
    6. Ivelina Nikolova, Dimitar Tcharaktchiev, Svetla Boytcheva, Zhivko Angelov, Galia Angelova
      Pages 92-103
    7. Michael Sioutis, Jean-François Condotta
      Pages 104-116
    8. Michael Sioutis, Jean-François Condotta, Yakoub Salhi, Bertrand Mazure
      Pages 117-128
    9. Varvara V. Tsurko, Anatoly I. Michalski
      Pages 139-149
    10. Karel Vaculík, Leona Nezvalová, Luboš Popelínský
      Pages 150-161
  3. Short Papers

    1. Darko Brodić, Čedomir A. Maluckov, Zoran N. Milivojević, Ivo R. Draganov
      Pages 162-169
    2. Irina V. Efimenko, Vladimir F. Khoroshevsky
      Pages 170-177
    3. Jacek Kabziński, Jarosław Kacerka
      Pages 178-185
    4. Petia Koprinkova-Hristova, Kiril Alexiev
      Pages 194-205

About these proceedings


This book constitutes the refereed proceedings of the 16th International Conference on Artificial Intelligence: Methodology, Systems, and Applications, AIMSA 2014, held in Varna, Bulgaria in September 2014. The 14 revised full papers and 9 short papers presented were carefully reviewed and selected from 53 submissions. The range of topics is almost equally broad, from traditional areas such as computer vision and natural language processing to emerging areas such as mining the behavior of Web-based communities.


constrained optimization desciption logic description logic features selection image segmentation image segmentation knowledge representation and reasoning knowledge representation and reasoning learning in probalibistic graphical models natural language processing natural language processing neural networks particle swam optimization recommender systems semantic network supervised learning supervised learning

Editors and affiliations

  • Gennady Agre
    • 1
  • Pascal Hitzler
    • 2
  • Adila A. Krisnadhi
    • 3
  • Sergei O. Kuznetsov
    • 4
  1. 1.Institute of Information and CommunicationBulgarian Academy of SciencesSofiaBulgaria
  2. 2.Department of Computer ScienceWright State UniversityDaytonUSA
  3. 3.Wright State UniversityDaytonUSA
  4. 4.Higher School of EconomicsNational Research UniversityMoscowRussia

Bibliographic information